China Automotive Systems (CAAS) Operating Leases (2024)
China Automotive Systems (CAAS) recorded Operating Leases of $52,000 in Q4 2024.
Analysis
China Automotive Systems (CAAS) Operating Leases (2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn |
| 10 | China Automotive Systems | 148.14 Mn | -298.84 Mn | - |
API Access
China Automotive Systems Operating Leases API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-leases&ticker=CAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "CAAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=CAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();